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Prep4away Microsoft Azure AI Fundamentals (AI-900) questions in three formats are the go-to source for successful and quick preparation. Three formats of our study material are Microsoft AI-900 exam PDF questions, desktop practice test software, and web-based AI-900 practice test. The philosophy behind offering these formats is simple: to create a world-class learning material that can help candidates achieve their Microsoft Azure AI Fundamentals (AI-900) preparation objectives. With the help of AI-900 exam questions in three formats, you can prepare successfully for the test according to your style.

Microsoft AI-900 Exam is an excellent opportunity for individuals who want to learn about AI and its applications in Azure. Microsoft Azure AI Fundamentals certification validates their knowledge of AI concepts and Azure services that support AI. Passing AI-900 exam can also open doors to new career opportunities in the AI industry, as more and more companies are adopting AI technologies to improve their business processes.

Microsoft Azure AI Fundamentals Exam Certification Details:

Duration60 mins
Passing Score700 / 1000
Exam CodeAI-900
Sample QuestionsMicrosoft Azure AI Fundamentals Sample Questions
Schedule ExamPearson VUE
Number of Questions40-60
Exam Price$99 (USD)
Books / TrainingCourse AI-900T00: Microsoft Azure AI Fundamentals

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AI-900 Pass Rate - AI-900 Test Braindumps

Under the support of our study materials, passing the exam won’t be an unreachable mission. More detailed information is under below. We are pleased that you can spare some time to have a look for your reference about our AI-900 test prep. As long as you spare one or two hours a day to study with our laTest AI-900 Quiz prep, we assure that you will have a good command of the relevant knowledge before taking the exam. What you need to do is to follow the AI-900 exam guide system at the pace you prefer as well as keep learning step by step.

Microsoft Azure AI Fundamentals Sample Questions (Q64-Q69):

NEW QUESTION # 64
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://azure.microsoft.com/en-us/services/machine-learning/automatedml/#features


NEW QUESTION # 65
Match the types of natural languages processing workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: Entity recognition
Classify a broad range of entities in text, such as people, places, organisations, date/time and percentages, using named entity recognition. Whereas:- Get a list of relevant phrases that best describe the subject of each record using key phrase extraction.
Box 2: Sentiment analysis
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
Box 3: Translation
Using Microsoft's Translator text API
This versatile API from Microsoft can be used for the following:
Translate text from one language to another.
Transliterate text from one script to another.
Detecting language of the input text.
Find alternate translations to specific text.
Determine the sentence length.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics


NEW QUESTION # 66
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-label-data


NEW QUESTION # 67
Select the .

Answer:

Explanation:

Explanation:

The correct completion of the sentence is:
"You can use the Custom Vision service to train an object detection model by using your own images." According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn module "Identify features of computer vision workloads," the Azure Custom Vision service is a specialized component of Azure Cognitive Services for Vision that enables developers to train custom image classification or object detection models using their own labeled image datasets.
The Custom Vision service differs from the Computer Vision service in that it allows full customization - meaning you can upload your own images, tag them manually, and train the model to recognize objects specific to your use case (for example, detecting your company's products, tools, or vehicles). Once trained, the model can identify and localize these objects in new images by returning bounding boxes and confidence scores, which is precisely what defines an object detection workload.
Microsoft's AI-900 materials describe object detection as the process of identifying objects in an image and determining their position, typically represented by bounding boxes. Custom Vision supports two main project types:
* Image Classification: Determines what is present in the image (e.g., "dog," "cat," "car").
* Object Detection: Identifies what is present and where it is located in the image.
In contrast:
* Computer Vision provides prebuilt models for general image analysis but doesn't allow custom model training.
* Form Recognizer is used for extracting text and data from structured or semi-structured documents.
* Azure Video Analyzer for Media focuses on video content analysis, not custom object detection.
Therefore, based on the official Microsoft AI-900 study guide and Microsoft Learn content, the verified and correct answer is Custom Vision, as it specifically allows training of a custom object detection model using your own images.


NEW QUESTION # 68
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 69
......

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